The AI in Business Podcast

Hospitals and clinics continue to face a central challenge: extensive cardiac testing still fails to deliver clear, consistent diagnostic answers, slowing decision‑making and creating downstream operational and financial strain.


In this episode, Jim Hartman, Chief Commercial Officer at Cleerly, examines with host Marilie Fouché how AI‑driven coronary CTA analysis strengthens diagnostic certainty, streamlines workflows across radiology, cardiology, and the cath lab, and supports more defensible adoption decisions for clinical and operational leaders.


The discussion highlights practical evaluation criteria — clinical impact, workflow efficiency, and financial return — that executives can use to assess whether advanced imaging technologies can be integrated and scaled within their organizations.


This episode is sponsored by Cleerly.
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Learn how to identify AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy, download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1

For consumer goods companies, the gap between the commercial plan agreed at head office and what gets executed on the shelf is one of the costliest disconnects in the business — investment goes out against activity that never happens, and revenue never arrives against activity that does.
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In this episode, Stephanie Lilley, VP of Transformation for Europe at Reckitt, examines why rigid rep call cycles and fragmented store-level data keep that gap open, and where AI is starting to close it — from image recognition that verifies in-store compliance to dynamic routing that sends field teams to the stores with the highest return — with host Daniel Faggella, Emerj CEO and Head of Research.
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She outlines the practical shifts underway: from fixed call files toward a mix of core relationship stores and flexible, ROI-driven visits, from full-time field coverage toward crowdsourced compliance checks, and from geography as the deciding factor toward the quality and recency of store-level data.
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Learn how these conversations drive pipeline for AI brands — download our media kit at emerj.com/AD1

Traditional, event-based training can't keep pace with technical skills that now shift every six to twelve months.
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In this episode, Nicola Lyons, Senior Director of Talent Operations at Andela, breaks down why assessment-based, personalized learning is replacing one-time training programs.
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The conversation covers how leaders can build continuous learning loops that keep technical teams current without turning into another mandatory course.
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This episode is sponsored by Andela.
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Reach VP+ leaders at America's largest enterprises through Emerj's podcasts. Emerj reaches 1 million listeners annually. Learn how AI brands use Emerj to generate leads: emerj.com/AD1

Generative AI is entering clinical workflows just as healthcare institutions grapple with black-box outputs, unclear regulation, and the need for provable accuracy.
 
In this episode, Rhett Alden, CTO at Elsevier, joins Emerj's Yolandi de Weerdt to articulate how claim-level validation and transparent sourcing are becoming prerequisites for clinical trust in AI. The conversation covers emerging AI governance boards modeled on clinical trial review structures, the limits of current US regulation, and why final clinical responsibility remains with the physician.


Learn the strategies Emerj uses to help leading AI brands and startups connect with their ideal enterprise AI buyers: emerj.com/AD1

For AI systems built into vehicles, robots, and industrial equipment, being smart isn't enough — the difference between success and failure often comes down to whether real-time performance was designed in from the start or added on afterward. In this episode, Drew Barbier, Vice President, IP Business Unit at MIPS, breaks down why starting with the software workload, rather than the hardware, produces measurably better outcomes in real-time compute design. The conversation covers a real-world example of a three-to-five-times performance gain from workload-first design, what changes on a team's side when real-time becomes a starting requirement instead of an afterthought, and how leaders can tell within six months whether their approach is working.


This episode is sponsored by MIPS.


Learn how to structure landing pages for higher conversion, and how to use self-qualification systems to prioritize high-intent leads. Download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1